๐ Original Info Title: 2502.18639 ArXiv ID: 2502.18639 Date: 2025-02-25 Authors: Markus Bertl, Alan Mott, Salvatore Sinno, Bhavika Bhalgamiya ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is โฆ
๐ Original Info Title: 2509.13120 ArXiv ID: 2509.13120 Date: 2025-09-16 Authors: Shannon Cheng, Anna Chlopecki, Saarah Nazar, Eric Samperton ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is โฆ
๐ Original Info Title: 2510.13709 ArXiv ID: 2510.13709 Date: 2025-10-15 Authors: Evan Ellis, Vivek Myers, Jens Tuyls, Sergey Levine, Anca Dragan, Benjamin Eysenbach ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference โฆ
We present Ethics Readiness Levels (ERLs), a four-level, iterative method to track how ethical reflection is implemented in the design of AI systems. ERLs bridge high-level ethical principles and everyday engineering by turning ethical values into concrete prompts, checks, and controls within real u
Few-shot learning (FSL) mitigates data scarcity in cardiac MRI segmentation but typically relies on semi-supervised techniques sensitive to domain shifts and validation bias, restricting zero-shot generalizability. We propose PathCo-LatticE, a fully supervised FSL framework that replaces unlabeled d
In regions of the Middle East and North Africa (MENA), there is a high demand for wastewater treatment plants (WWTPs), crucial for sustainable water management. Precise identification of WWTPs from satellite images enables environmental monitoring. Traditional methods like YOLOv8 segmentation requir
Machine learning (ML) is increasingly used in structural engineering and design, yet its broader adoption is hampered by the lack of openly accessible datasets of structural systems. We introduce BridgeNet, a publicly available graph-based dataset of 20,000 form-found bridge structures aimed at enab
Large Language Models (LLMs) deliver exceptional performance across natural language tasks but demand substantial computational resources, limiting their deployment on resource-constrained edge devices. Existing compression techniques, such as quantization and pruning, often degrade critical linguis
Despite the growing interest in low-altitude economy (LAE) applications, including UAV-based logistics and emergency response, fundamental challenges remain in orchestrating such missions over complex, signal-constrained environments. These include the absence of real-time, resilient, and contextawa
๐ Original Info Title: Bridging Research and Standardization: Innovations and Methodology for 6G Standard Contributions ArXiv ID: 2504.06682 Date: 2025-04-09 Authors: Francesca Conserva, Fabio Busacca, Corrado Puligheddu, Simone Bizzarri, Maurizio โฆ
Environmental, Social, and Governance (ESG) metric knowledge is inherently structured, connecting industries, reporting frameworks, metric categories, metrics, and calculation models through compositional dependencies, yet in practice this structure remains embedded implicitly in regulatory document
๐ Original Info Title: From FAIR to CURE: Guidelines for Computational Models of Biological Systems ArXiv ID: 2502.15597 Date: 2025-02-21 Authors: Herbert M. Sauro, Eran Agmon, Michael L. Blinov, John H. Gennari, Joe Hellerstein, Adel โฆ
Cooperative multi-agent reinforcement learning (MARL) is constrained by two core design bottlenecks: dense reward engineering and curriculum design. Handcrafted rewards often misalign with global objectives, while static curricula fail to prevent agents from getting trapped in local optima. Large la
Masks are essential in medical settings and during infectious outbreaks but significantly impair speech communication, especially in environments with background noise. Existing solutions often require substantial computational resources or compromise hygiene and comfort. We propose a novel sensing
๐ Original Info Title: OS-R1: Agentic Operating System Kernel Tuning with Reinforcement Learning ArXiv ID: 2508.12551 Date: 2025-08-18 Authors: Hongyu Lin, Yuchen Li, Haoran Luo, Kaichun Yao, Libo Zhang, Mingjie Xing, Yanjun Wu ๐ Abstract None ๐ก Deep โฆ
Evaluating vision-language models (VLMs) in scientific domains like mathematics and physics poses unique challenges that go far beyond predicting final answers. These domains demand conceptual understanding, symbolic reasoning, and adherence to formal laws, requirements that most existing benchmarks
Implicit Neural Representations (INRs) have emerged as a powerful paradigm for representing signals such as images, audio, and 3D scenes. However, existing INR frameworks-including MLPs with Fourier features, SIREN, and multiresolution hash grids-implicitly assume a global and stationary spectral ba
Controller synthesis is a formal method approach for automatically generating Labeled Transition System (LTS) controllers that satisfy specified properties. The efficiency of the synthesis process, however, is critically dependent on exploration policies. These policies often rely on fixed rules or
Local field potentials (LFPs) can be routinely recorded alongside spiking activity in intracortical neural experiments, measure a larger complementary spatiotemporal scale of brain activity for scientific inquiry, and can offer practical advantages over spikes, including greater long-term stability,
Vision-Language Models (VLMs) have demonstrated strong performance on tasks such as video captioning and visual question answering. However, their growing scale and video-level inputs lead to significant computational and memory overhead, posing challenges for real-time deployment on hardware accele
Manual generation of G-code is important for learning the operation of CNC machines. Prior work in G-code verification uses Large-Language Models (LLMs), which primarily examine errors in the written programming. However, CNC machining requires extensive use and knowledge of the Human-Machine Interf
Foundation models (FMs) have opened new avenues for machine learning applications due to their ability to adapt to new and unseen tasks with minimal or no further training. Time-series foundation models (TSFMs)-FMs trained on time-series data-have shown strong performance on classification, regressi
The development of robust Autonomous Vehicles (AVs) is bottlenecked by the scarcity of 'Long-Tail' training data. While fleets collect petabytes of video logs, identifying rare safety-critical events (e.g., erratic jaywalking, construction diversions) remains a manual, cost-prohibitive process. Exis
Large Language Model (LLM)-based multi-agent systems (MAS) have become indispensable building blocks for web-scale applications (e.g., web search, social network analytics, online customer support), with cost-effectiveness becoming the primary constraint on large-scale deployment. While recent advan
Large language models (LLMs) demonstrate significant potential for educational applications. However, their unscrutinized deployment poses risks to educational standards, underscoring the need for rigorous evaluation. We introduce EduEval, a comprehensive hierarchical benchmark for evaluating LLMs i
๐ Original Info Title: 2501.10233 ArXiv ID: 2501.10233 Date: 2025-01-17 Authors: J. Iliopoulos ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed based on open access ArXiv data.
๐ Original Info Title: 2501.13817 ArXiv ID: 2501.13817 Date: 2025-01-23 Authors: Aditya Parameshwaran, Yue Wang ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed based on open access ArXiv โฆ
๐ Original Info Title: 2502.01449 ArXiv ID: 2502.01449 Date: 2025-02-03 Authors: Patrick Iff, Benigna Bruggmann, Maciej Besta, Luca Benini, Torsten Hoefler ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content โฆ
๐ Original Info Title: 2502.02457 ArXiv ID: 2502.02457 Date: 2025-02-04 Authors: Ting-Ju Wei, Tung-Huan Su, Chuin-Shan Chen ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed based on open โฆ
๐ Original Info Title: 2502.11126 ArXiv ID: 2502.11126 Date: 2025-02-16 Authors: Fyodor Morozko, Shadad Watad, Amir Naser, Andrey Novitsky, Alina Karabchevsky ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This โฆ
๐ Original Info Title: 2504.05852 ArXiv ID: 2504.05852 Date: 2025-04-08 Authors: Nikolaj T. Mรผcke, Benjamin Sanderse ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed based on open access โฆ
๐ Original Info Title: 2504.12800 ArXiv ID: 2504.12800 Date: 2025-04-17 Authors: Yifei Tong, Runze Tian, Xiao Han, Dingyao Liu, Fenggen Yu, Yan Zhang ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is โฆ
๐ Original Info Title: 2504.13206 ArXiv ID: 2504.13206 Date: 2025-04-15 Authors: Aniket Roy, Shubhankar Borse, Shreya Kadambi, Debasmit Das, Shweta Mahajan, Risheek Garrepalli, Hyojin Park, Ankita Nayak, Rama Chellappa, Munawar Hayat, Fatih Porikli ๐ โฆ
๐ Original Info Title: 2505.00878 ArXiv ID: 2505.00878 Date: 2025-05-01 Authors: Jonathan Lenchner, Karan Srivastava, Joao Goncalves, Mark Squillante, Lior Horesh ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This โฆ
๐ Original Info Title: 2505.09192 ArXiv ID: 2505.09192 Date: 2025-05-14 Authors: Aurelio Agliolo Gallitto ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed based on open access ArXiv data.
๐ Original Info Title: 2505.09899 ArXiv ID: 2505.09899 Date: 2025-05-15 Authors: Binesh Sadanandan, Vahid Behzadan ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed based on open access โฆ
๐ Original Info Title: 2505.18180 ArXiv ID: 2505.18180 Date: 2025-05-15 Authors: Vu Thi Huong, Thorsten Koch ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed based on open access ArXiv โฆ
๐ Original Info Title: 2506.19405 ArXiv ID: 2506.19405 Date: 2025-06-24 Authors: Jean-Guillaume Dumas, Clรฉment Pernet, Alexandre Sedoglavic ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed โฆ
๐ Original Info Title: 2507.14397 ArXiv ID: 2507.14397 Date: 2025-07-18 Authors: Michael Davies, Neal Crago, Karthikeyan Sankaralingam, Christos Kozyrakis ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content โฆ
๐ Original Info Title: 2507.16869 ArXiv ID: 2507.16869 Date: 2025-07-22 Authors: Yue Ma, Kunyu Feng, Zhongyuan Hu, Xinyu Wang, Yucheng Wang, Mingzhe Zheng, Bingyuan Wang, Qinghe Wang, Xuanhua He, Hongfa Wang, Chenyang Zhu, Hongyu Liu, Yingqing He, โฆ
๐ Original Info Title: 2507.18235 ArXiv ID: 2507.18235 Date: 2025-07-24 Authors: Leon Herles, Mario Mally, Jรถrg Ostrowski, Sebastian Schรถps, Melina Merkel ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content โฆ
๐ Original Info Title: 2508.16640 ArXiv ID: 2508.16640 Date: 2025-08-17 Authors: Zhao Feng, Xin-Yang Liu, Meet Hemant Parikh, Junyi Guo, Pan Du, Bicheng Yan, Jian-Xun Wang ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv โฆ
๐ Original Info Title: 2509.00604 ArXiv ID: 2509.00604 Date: 2025-08-30 Authors: Fouad M. Amin, Diab W. Abueidda, Panos Pantidis, Mostafa E. Mobasher ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is โฆ
๐ Original Info Title: 2510.13856 ArXiv ID: 2510.13856 Date: 2025-10-12 Authors: A H M Rezaul Karim, Ozlem Uzuner ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed based on open access โฆ
๐ Original Info Title: 2510.14268 ArXiv ID: 2510.14268 Date: 2025-10-16 Authors: Mohammad Afzal Shadab, Howard A. Stone, Reed M. Maxwell ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed โฆ
๐ Original Info Title: 2510.18072 ArXiv ID: 2510.18072 Date: 2025-10-20 Authors: Jiajun Fan, Chaoran Cheng, Shuaike Shen, Xiangxin Zhou, Ge Liu ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is โฆ
๐ Original Info Title: 2510.18999 ArXiv ID: 2510.18999 Date: 2025-10-21 Authors: Zhirui Dai, Qihao Qian, Tianxing Fan, Nikolay Atanasov ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed โฆ
๐ Original Info Title: 2510.21855 ArXiv ID: 2510.21855 Date: 2025-10-22 Authors: Ryan Zhang, Herbert Woisetschlรคger ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This content is AI-processed based on open access โฆ
๐ Original Info Title: 2510.26697 ArXiv ID: 2510.26697 Date: 2025-10-30 Authors: Zhichao Wang, Dongyang Ma, Xinting Huang, Deng Cai, Tian Lan, Jiahao Xu, Haitao Mi, Xiaoying Tang, Yan Wang ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full โฆ
๐ Original Info Title: 2511.00785 ArXiv ID: 2511.00785 Date: 2025-11-02 Authors: Juan Wang, Yasutomo Kawanishi, Tomo Miyazaki, Zhijie Wang, Shinichiro Omachi ๐ Abstract None ๐ก Deep Analysis ๐ Full Content ๐ Read Full PDF on ArXiv Reference This โฆ
Enter keywords to search articles